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authorKen Kellner <ken@kenkellner.com>2024-01-21 17:30:01 -0500
committerKen Kellner <ken@kenkellner.com>2024-01-21 17:30:01 -0500
commitf9e9dd56b9027a83fce98059ced531e6e747e827 (patch)
tree3072f33dce0ab23a8e5c4716fee938bbde3ca2ac
parent0eec63a9a8e414bc79ea331ea2a62cd35c6de9da (diff)
Fix README
-rw-r--r--README.Rmd6
-rw-r--r--README.md20
2 files changed, 7 insertions, 19 deletions
diff --git a/README.Rmd b/README.Rmd
index 9cf9583..85559e2 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -1,9 +1,3 @@
----
-output:
- md_document:
- variant: gfm
----
-
```{r, echo = FALSE}
knitr::opts_chunk$set(
fig.path = "README_figs/README-"
diff --git a/README.md b/README.md
index 7660b68..ff6f638 100644
--- a/README.md
+++ b/README.md
@@ -1,9 +1,3 @@
----
-output:
- md_document:
- variant: gfm
----
-
# jagsUI: Run JAGS from R
@@ -137,18 +131,18 @@ out
```
```
-## JAGS output for model '/tmp/Rtmp16oToP/file1549f24ce59d9', generated by jagsUI.
+## JAGS output for model '/tmp/Rtmp9aOSoz/file15fda23cf96c2', generated by jagsUI.
## Estimates based on 3 chains of 1000 iterations,
## adaptation = 100 iterations (sufficient),
## burn-in = 500 iterations and thin rate = 2,
## yielding 750 total samples from the joint posterior.
-## MCMC ran for 0.001 minutes at time 2024-01-21 17:14:33.903207.
+## MCMC ran for 0.001 minutes at time 2024-01-21 17:29:30.558591.
##
## mean sd 2.5% 50% 97.5% overlap0 f Rhat n.eff
-## alpha 51.817 0.780 50.274 51.832 53.378 FALSE 1 1.002 750
-## beta 0.035 0.002 0.031 0.035 0.039 FALSE 1 1.003 750
-## sigma 0.729 0.154 0.499 0.705 1.119 FALSE 1 1.008 349
-## deviance 33.343 2.886 29.989 32.613 40.721 FALSE 1 1.006 446
+## alpha 51.911 0.739 50.539 51.911 53.402 FALSE 1 0.999 750
+## beta 0.035 0.002 0.031 0.035 0.038 FALSE 1 1.000 750
+## sigma 0.715 0.148 0.487 0.699 1.095 FALSE 1 1.006 535
+## deviance 33.247 2.798 30.050 32.466 40.263 FALSE 1 1.002 750
##
## Successful convergence based on Rhat values (all < 1.1).
## Rhat is the potential scale reduction factor (at convergence, Rhat=1).
@@ -159,7 +153,7 @@ out
## i.e., our confidence that the parameter is positive or negative.
##
## DIC info: (pD = var(deviance)/2)
-## pD = 4.2 and DIC = 37.498
+## pD = 3.9 and DIC = 37.161
## DIC is an estimate of expected predictive error (lower is better).
```